1359 search results - page 216 / 272 » Probabilistic Points-to Analysis |
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
We cast model-free reinforcement learning as the problem of maximizing the likelihood of a probabilistic mixture model via sampling, addressing both the infinite and finite horizo...
110
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
In this paper we investigate the regularization property of Kernel Principal Component Analysis (KPCA), by studying its application as a preprocessing step to supervised learning ...
88
Voted
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
We introduce Hidden Process Models (HPMs), a class of probabilistic models for multivariate time series data. The design of HPMs has been motivated by the challenges of modeling h...
103
Voted
SDM
2009
SIAM
15 years 9 months ago
2009
SIAM
Document collections evolve over time, new topics emerge and old ones decline. At the same time, the terminology evolves as well. Much literature is devoted to topic evolution in ...
117
Voted
CEC
2009
IEEE
15 years 7 months ago
2009
IEEE
—Structure learning is a crucial component of a multivariate Estimation of Distribution algorithm. It is the part which determines the interactions between variables in the proba...